时序大数据流式计算处理在航天测控中心系统的应用

大数据处理技术按照时效性可分为批处理与流处理两种模式。大量航天器工程测量数据经过测控设备的解码、译码等处理后形成原始数据发往测控中心，带有时间戳的这些原始数据、过程数据、处理结果数据及软件状态信息组成了时序大数据。通过对航天测控中心智能化决策模型的研究，设计了一种基于流式计算技术在航天测控中心系统的应用方法，指出了当前消息队列系统的瓶颈，并提出采用Kafka的消息通信机制来解决任务数量受限的问题。

Application of time series big data based on stream computing in space TT&C center system

According to timeliness,big data processing technology can be divided into batch processing and stream processing.A large number of spacecraft engineering survey data is decoded and decoded by the TT&C equipment to form the original data and be sent to the TT&C center.These original data,process data,processing result data and software status information with time stamp constitute the time series big data.Through the research of intelligent decision-making model of space TT&C center,an application method based on flow computing technology in space TT&C center system is designed.The bottleneck of current message queue system is pointed out,and the message communication mechanism of Kafka is proposed to solve the problem of limited number of tasks.